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One for All? Hitting Multiple Alzheimer's Disease Targets with One Drug

Overview of attention for article published in Frontiers in Neuroscience, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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1 news outlet
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3 X users

Citations

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81 Dimensions

Readers on

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158 Mendeley
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Title
One for All? Hitting Multiple Alzheimer's Disease Targets with One Drug
Published in
Frontiers in Neuroscience, April 2016
DOI 10.3389/fnins.2016.00177
Pubmed ID
Authors

Rebecca E. Hughes, Katarina Nikolic, Rona R. Ramsay

Abstract

HIGHLIGHTS Many AD target combinations are being explored for multi-target drug design.New databases and models increase the potential of computational drug designLiraglutide and other antidiabetics are strong candidates for repurposing to AD.Donecopride a dual 5-HT/AChE inhibitor shows promise in pre-clinical studies Alzheimer's Disease is a complex and multifactorial disease for which the mechanism is still not fully understood. As new insights into disease progression are discovered, new drugs must be designed to target those aspects of the disease that cause neuronal damage rather than just the symptoms currently addressed by single target drugs. It is becoming possible to target several aspects of the disease pathology at once using multi-target drugs (MTDs). Intended as an introduction for non-experts, this review describes the key MTD design approaches, namely structure-based, in silico, and data-mining, to evaluate what is preventing compounds progressing through the clinic to the market. Repurposing current drugs using their off-target effects reduces the cost of development, time to launch, and the uncertainty associated with safety and pharmacokinetics. The most promising drugs currently being investigated for repurposing to Alzheimer's Disease are rasagiline, originally developed for the treatment of Parkinson's Disease, and liraglutide, an antidiabetic. Rational drug design can combine pharmacophores of multiple drugs, systematically change functional groups, and rank them by virtual screening. Hits confirmed experimentally are rationally modified to generate an effective multi-potent lead compound. Examples from this approach are ASS234 with properties similar to rasagiline, and donecopride, a hybrid of an acetylcholinesterase inhibitor and a 5-HT4 receptor agonist with pro-cognitive effects. Exploiting these interdisciplinary approaches, public-private collaborative lead factories promise faster delivery of new drugs to the clinic.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Unknown 157 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 16%
Student > Bachelor 23 15%
Student > Ph. D. Student 21 13%
Student > Master 19 12%
Other 12 8%
Other 20 13%
Unknown 38 24%
Readers by discipline Count As %
Chemistry 22 14%
Pharmacology, Toxicology and Pharmaceutical Science 21 13%
Neuroscience 18 11%
Agricultural and Biological Sciences 13 8%
Biochemistry, Genetics and Molecular Biology 12 8%
Other 20 13%
Unknown 52 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 January 2020.
All research outputs
#3,415,350
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#2,701
of 11,542 outputs
Outputs of similar age
#52,346
of 312,470 outputs
Outputs of similar age from Frontiers in Neuroscience
#34
of 161 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,470 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.